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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis
|
---|---|
Published in |
BMC Bioinformatics, July 2019
|
DOI | 10.1186/s12859-019-2998-8 |
Pubmed ID | |
Authors |
Hailin Chen, Zuping Zhang, Dayi Feng |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 21% |
Student > Master | 4 | 17% |
Student > Postgraduate | 2 | 8% |
Researcher | 2 | 8% |
Student > Bachelor | 2 | 8% |
Other | 4 | 17% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 38% |
Computer Science | 5 | 21% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Earth and Planetary Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2019.
All research outputs
#15,049,621
of 23,153,184 outputs
Outputs from BMC Bioinformatics
#5,097
of 7,341 outputs
Outputs of similar age
#202,357
of 346,714 outputs
Outputs of similar age from BMC Bioinformatics
#100
of 148 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,341 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 346,714 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.